Lead Product Software Architect — AI & Data Job Hoevelaken area,Gelderland Netherlands,IT/Tech

R0055258 Lead Product Software Architect — AI & Data

Wolters Kluwer delivers expert solutions that combine deep domain knowledge with advanced technology to help professionals make better decisions. Twinfield, a cloud‑based accounting solution, is one of the key products. You will be part of the ‘TechB.V.’ team that focuses on developing, serving, and delivering technology solutions that support Twinfield’s digital products and services.

Why the role exists

We’re building AI‑powered capabilities directly into customer‑delivered software — not demos, not labs. This role owns the architecture that turns our data estate into an AI‑ready product platform and makes AI features reliable, governable, secure, and scalable in production. You’ll lead the modernization of our product data estate (schemas, pipelines, contracts, governance, and access patterns) so we can ship AI/ML and GenAI capabilities quickly and safely.

Responsibilities

Architect AI‑enabled product capabilities. Translate business goals and product requirements into end‑to‑end architecture for AI features (e.g. predictive ML, recommendations, GenAI, agentic workflows). Define integration patterns between product services, data systems, and AI components (APIs, including MCP/A2A, ARG, events, model/agent serving, evaluation harnesses). Evaluate NFR tradeoffs and ensure delivery adherence (e.g. latency, cost, security, resiliency, and maintainability).

Modernize the data estate to be AI‑ready. Lead modernization of legacy data estates into a governed, scalable architecture (lakehouse/data mesh patterns, curated layers, data products, and contracts). Drive improvements in data quality, lineage, metadata, and discoverability — treat data pipelines as software (versioning, testing, CI/CD). Establish canonical models/semantic patterns that support analytics and AI/ML workloads (features/embeddings, training/serving parity).

Operationalize AI (MLOps/LLMOps). Define standards and reusable patterns for feature stores, model registries, experiment tracking, promotion workflows, drift monitoring, and retraining. Build reference implementations and enable teams to ship features repeatedly — moving from PoC to governed production delivery.

Make it safe. Embed responsible AI and governance controls into the lifecycle: auditability, transparency, bias/risk considerations, and secure‑by‑design patterns. Partner with Security/Privacy/Legal to ensure our AI and data systems meet obligations without killing delivery velocity.

Lead through influence. Act as a technical leader and mentor: clarify direction, unblock teams, and raise the architecture/engineering bar through reviews, guidance, and coaching. Communicate complex tradeoffs clearly — influence product, engineering, and leadership stakeholders with pragmatic options and crisp decisions.

Minimum qualifications

8–12+ years building and evolving complex software products (SaaS/distributed systems required), including architectural leadership.
Proven experience integrating AI/ML or GenAI into customer‑facing software and shipping to production with monitoring and operations.
Hands‑on experience modernizing data estates: data modeling, integration, pipelines, lineage, and scalable storage/compute patterns.
Experience designing secure AI systems (threat modeling for prompt injection/data leakage, model supply chain controls, etc.).
Strong understanding of modern data architecture concepts: curated layers, governance, data products/contracts, and event‑driven/streaming where needed.
Practical Data Ops/MLOps understanding: environments, CI/CD, promotion gates, drift detection, rollback/incident patterns, and operational monitoring.
Ability to write and maintain high‑quality architecture artifacts: blueprints, specs, ADRs, and reference implementations that teams actually use.

Nice‑to‑have

Experience with lakehouse/data mesh transformations at scale and implementing strong governance/catalog patterns.

Benefits

36–40 hour working week with flexible working hours.
Hybrid working model (up to 2 office days per week).
Competitive salary aligned with senior‑level responsibility.
25 vacation days (based on 40 hours).
50% pension contribution reimbursed by Wolters Kluwer.
Informal, collaborative working environment with regular events.
Daily lunch buffet, fresh fruit, and great coffee.

Apply

Apply via the button below, or contact Rasi Fawaz – Senior Corporate Recruiter, Email:

Equal Employment Opportunity

All qualified applicants will receive consideration without regard to race, color, religion, sex (including pregnancy, gender identity, transgender status, and sexual orientation), national origin, disability, age, genetic information, veteran status, or any other characteristic protected by applicable law. We do not tolerate discrimination on any of these bases.

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